The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-21"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "14947428 (up from 14707960 yesterday: 1.63 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "616443 (up from 609894 yesterday: 1.07 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4471590

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.12



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3899211 64534 1.68 1263794 141995 1082 0.77 3.64
Brazil 2159654 41008 1.94 757613 81487 1367 1.71 3.77
India 1193078 37740 3.27 607585 28732 650 2.31 2.41
Russia 782040 5828 0.75 135111 12561 153 1.23 1.61
South Africa 381798 8170 2.19 230589 5368 195 3.77 1.41
Peru 362087 8497 2.40 76874 13579 392 2.97 3.75
Mexico 356255 6859 1.96 130166 40400 915 2.32 11.34
Chile 334683 3753 1.13 55290 8677 174 2.05 2.59
United Kingdom 297389 445 0.15 -16771 45507 110 0.24 15.30
Iran 278827 2625 0.95 51165 14634 229 1.59 5.25
Pakistan 267428 1332 0.50 53958 5677 38 0.67 2.12
Spain 266194 1358 0.51 16923 28424 2 0.01 10.68
Saudi Arabia 255825 2476 0.98 65002 2557 34 1.35 1.00
Italy 244752 128 0.05 4174 35073 15 0.04 14.33
Turkey 221500 928 0.42 21594 5526 18 0.33 2.49
France 214607 584 0.27 12544 30168 -12 -0.04 14.06
Colombia 211038 7033 3.45 115769 7166 237 3.42 3.40
Bangladesh 210510 3057 1.47 65027 2709 41 1.54 1.29
Germany 203717 392 0.19 8299 9099 5 0.05 4.47
Argentina 136118 5344 4.09 71588 2490 117 4.93 1.83
Canada 113473 535 0.47 7376 8908 6 0.07 7.85
Qatar 107430 393 0.37 11342 160 1 0.63 0.15
Iraq 97159 2466 2.60 48050 3950 81 2.09 4.07
Indonesia 89869 1655 1.88 33484 4320 81 1.91 4.81
Egypt 89078 676 0.76 20767 4399 47 1.08 4.94
China 85314 0 0.00 529 4644 0 0.00 5.44
Sweden 78166 118 0.15 9715 5646 7 0.12 7.22
Ecuador 76217 1597 2.14 19785 5366 48 0.90 7.04
Kazakhstan 75153 1685 2.29 52845 585 0 0.00 0.78
Philippines 70764 1866 2.71 33250 1837 2 0.11 2.60
Oman 69887 1487 2.17 29817 337 11 3.37 0.48
Belarus 66348 135 0.20 4230 507 4 0.80 0.76
Belgium 64258 164 0.26 2831 9805 0 0.00 15.26
Bolivia 62357 1366 2.24 29138 2273 55 2.48 3.65
Ukraine 61454 687 1.13 16200 1537 20 1.32 2.50
Kuwait 60434 671 1.12 14239 412 4 0.98 0.68
United Arab Emirates 57498 305 0.53 8831 341 1 0.29 0.59
Panama 55153 727 1.34 21603 1159 32 2.84 2.10
Dominican Republic 54797 841 1.56 22229 999 6 0.60 1.82
Israel 54042 2039 3.92 28798 425 10 2.41 0.79
Netherlands 52307 165 0.32 1824 6155 0 0.00 11.77
Portugal 48898 127 0.26 6757 1697 6 0.35 3.47
Singapore 48434 399 0.83 4527 27 0 0.00 0.06
Poland 40782 399 0.99 6389 1636 9 0.55 4.01
Guatemala 40229 1190 3.05 22133 1531 29 1.93 3.81
Romania 39133 994 2.61 12163 2074 36 1.77 5.30
Nigeria 37801 576 1.55 12107 805 4 0.50 2.13
Bahrain 37316 380 1.03 10558 129 1 0.78 0.35
Afghanistan 35615 89 0.25 4098 1186 1 0.08 3.33
Honduras 35345 734 2.12 15787 988 53 5.67 2.80
Armenia 35254 273 0.78 9712 662 12 1.85 1.88
Switzerland 33742 108 0.32 2028 1972 1 0.05 5.84
Ghana 28989 559 1.97 11248 153 0 0.00 0.53
Kyrgyzstan 28251 1108 4.08 22745 1079 42 4.05 3.82
Azerbaijan 28242 352 1.26 10718 376 13 3.58 1.33
Japan 26463 757 2.94 7848 988 0 0.00 3.73
Ireland 25802 36 0.14 329 1753 0 0.00 6.79
Algeria 24278 587 2.48 10371 1100 13 1.20 4.53
Serbia 21605 352 1.66 7041 491 9 1.87 2.27
Moldova 21442 327 1.55 4829 707 12 1.73 3.30
Austria 19827 84 0.43 2061 710 -1 -0.14 3.58
Nepal 17994 150 0.84 4430 40 0 0.00 0.22
Uzbekistan 17881 732 4.27 9378 95 5 5.56 0.53
Morocco 17742 180 1.02 5209 280 4 1.45 1.58
Cameroon 16522 365 2.26 3930 382 9 2.41 2.31
Cote d’Ivoire 14531 219 1.53 5032 93 1 1.09 0.64
Czechia 14324 226 1.60 2370 360 1 0.28 2.51
Kenya 14168 397 2.88 7802 250 12 5.04 1.76
Korea, South 13879 63 0.46 1029 297 1 0.34 2.14
Denmark 13506 40 0.30 538 611 0 0.00 4.52
Australia 12894 466 3.75 4974 128 2 1.59 0.99
Venezuela 12774 440 3.57 6942 120 4 3.45 0.94
El Salvador 12582 375 3.07 6144 352 8 2.33 2.80
Costa Rica 11811 277 2.40 8352 68 2 3.03 0.58
Ethiopia 11072 865 8.47 5226 180 10 5.88 1.63
Sudan 10992 0 0.00 1735 693 0 0.00 6.30

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 409305 11435 2.87 178073 7888 118 1.52 1.93 10358.95 199.63 1 in 97
New York 408181 855 0.21 14727 32520 14 0.04 7.97 20982.33 1671.67 1 in 48
Florida 369834 9440 2.62 217400 5206 134 2.64 1.41 17219.41 242.39 1 in 58
Texas 351071 7288 2.12 188011 4199 93 2.26 1.20 12107.62 144.81 1 in 83
New Jersey 177256 293 0.17 5589 15737 22 0.14 8.88 19956.34 1771.75 1 in 50
Illinois 164864 942 0.57 21679 7517 23 0.31 4.56 13010.28 593.21 1 in 77
Georgia 148988 3406 2.34 67697 3254 77 2.42 2.18 14032.41 306.48 1 in 71
Arizona 148683 3500 2.41 69455 2918 134 4.81 1.96 19525.29 383.20 1 in 51
Massachusetts 114033 244 0.21 5151 8450 17 0.20 7.41 16408.80 1215.91 1 in 61
Pennsylvania 107460 1055 0.99 16321 7051 26 0.37 6.56 8394.01 550.77 1 in 119
North Carolina 103216 1985 1.96 37889 1705 28 1.67 1.65 9841.26 162.57 1 in 102
Louisiana 96583 1691 1.78 38488 3498 36 1.04 3.62 20775.93 752.45 1 in 48
Michigan 83059 664 0.81 12331 6382 9 0.14 7.68 8316.83 639.04 1 in 120
Tennessee 81944 2190 2.75 38435 871 24 2.83 1.06 11992.08 127.47 1 in 83
Maryland 79545 860 1.09 11986 3402 20 0.59 4.28 13157.33 562.72 1 in 76
Virginia 79371 996 1.27 16584 2048 17 0.84 2.58 9298.91 239.94 1 in 108
Ohio 77215 1047 1.37 25426 3219 30 0.94 4.17 6605.73 275.38 1 in 151
South Carolina 73337 1892 2.65 36938 1221 57 4.90 1.66 14243.75 237.15 1 in 70
Alabama 70358 1467 2.13 32313 1303 12 0.93 1.85 14349.45 265.75 1 in 70
Indiana 57916 710 1.24 12322 2846 21 0.74 4.91 8602.81 422.74 1 in 116
Washington 48575 832 1.74 15751 1465 12 0.83 3.02 6378.95 192.39 1 in 157
Connecticut 48096 41 0.09 1582 4406 0 0.00 9.16 13490.08 1235.81 1 in 74
Minnesota 47457 350 0.74 11154 1588 3 0.19 3.35 8414.91 281.58 1 in 119
Mississippi 45524 1635 3.73 18277 1389 31 2.28 3.05 15296.28 466.71 1 in 65
Wisconsin 44135 1117 2.60 15476 859 13 1.54 1.95 7580.16 147.53 1 in 132
Colorado 41041 493 1.22 8343 1763 5 0.28 4.30 7126.74 306.14 1 in 140
Iowa 39721 378 0.96 10647 806 8 1.00 2.03 12589.58 255.46 1 in 79
Nevada 37528 815 2.22 19072 676 28 4.32 1.80 12183.80 219.47 1 in 82
Missouri 35194 1092 3.20 14193 1148 10 0.88 3.26 5734.32 187.05 1 in 174
Utah 35012 486 1.41 12795 251 4 1.62 0.72 10920.92 78.29 1 in 92
Arkansas 34655 728 2.15 13878 374 11 3.03 1.08 11483.44 123.93 1 in 87
Oklahoma 26326 890 3.50 12569 461 9 1.99 1.75 6653.07 116.50 1 in 150
Kentucky 24060 646 2.76 8436 674 3 0.45 2.80 5385.35 150.86 1 in 186
Nebraska 23190 343 1.50 4013 310 -3 -0.96 1.34 11988.16 160.26 1 in 83
Kansas 22929 273 1.20 8559 316 4 1.28 1.38 7870.42 108.47 1 in 127
Rhode Island 17986 82 0.46 1173 996 1 0.10 5.54 16978.16 940.19 1 in 59
New Mexico 17517 302 1.75 5370 588 10 1.73 3.36 8354.04 280.42 1 in 120
Idaho 15823 555 3.64 9706 126 4 3.28 0.80 8829.48 70.31 1 in 113
Oregon 15139 292 1.97 6483 269 7 2.67 1.78 3589.37 63.78 1 in 279
Delaware 13746 122 0.90 2272 525 2 0.38 3.82 14116.36 539.15 1 in 71
Puerto Rico 12940 479 3.84 5475 180 0 0.00 1.39 4051.73 56.36 1 in 247
District of Columbia 11427 88 0.78 1100 580 1 0.17 5.08 16191.31 821.82 1 in 62
South Dakota 8019 76 0.96 1255 118 0 0.00 1.47 9064.51 133.38 1 in 110
New Hampshire 6262 13 0.21 480 400 2 0.50 6.39 4605.39 294.18 1 in 217
North Dakota 5207 81 1.58 1631 94 1 1.08 1.81 6832.78 123.35 1 in 146
West Virginia 5172 88 1.73 2267 101 1 1.00 1.95 2894.00 56.51 1 in 346
Maine 3723 12 0.32 470 118 1 0.85 3.17 2769.65 87.78 1 in 361
Montana 2711 91 3.47 1744 40 1 2.56 1.48 2536.54 37.43 1 in 394
Wyoming 2238 51 2.33 751 25 1 4.17 1.12 3866.89 43.20 1 in 259
Alaska 2042 92 4.72 1105 18 0 0.00 0.88 2791.35 24.61 1 in 358
Hawaii 1418 25 1.79 501 24 0 0.00 1.69 1001.50 16.95 1 in 998
Vermont 1366 6 0.44 158 56 0 0.00 4.10 2189.14 89.75 1 in 457

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 6536932 409305 6.26 2369793 178073 7.51 165440.75
2 New York 5230981 408181 7.80 1316043 14727 1.12 268895.81
3 Florida 3099750 369834 11.93 1154755 217400 18.83 144323.86
4 Texas 3043574 351071 11.53 1174292 188011 16.01 104965.74
5 New Jersey 1817955 177256 9.75 395581 5589 1.41 204674.19
6 Illinois 2310029 164864 7.14 706011 21679 3.07 182296.53
7 Georgia 1295291 148988 11.50 461413 67697 14.67 121996.74
8 Arizona 807666 148683 18.41 275310 69455 25.23 106064.00
9 Massachusetts 1059181 114033 10.77 211040 5151 2.44 152411.04
10 Pennsylvania 1055763 107460 10.18 291576 16321 5.60 82468.67
11 North Carolina 1458997 103216 7.07 548964 37889 6.90 139109.97
12 Louisiana 1122962 96583 8.60 394451 38488 9.76 241559.85
13 Michigan 1529375 83059 5.43 484318 12331 2.55 153138.77
14 Tennessee 1238233 81944 6.62 445106 38435 8.64 181209.05
15 Maryland 764367 79545 10.41 228512 11986 5.25 126431.93
16 Virginia 940092 79371 8.44 295058 16584 5.62 110138.82
17 Ohio 1200023 77215 6.43 412094 25426 6.17 102661.71
18 South Carolina 598693 73337 12.25 218121 36938 16.93 116280.10
19 Alabama 600381 70358 11.72 193729 32313 16.68 122447.14
20 Indiana 644805 57916 8.98 160609 12322 7.67 95778.97
21 Washington 826354 48575 5.88 278134 15751 5.66 108518.14
22 Connecticut 662837 48096 7.26 196443 1582 0.81 185914.07
23 Minnesota 876859 47457 5.41 271543 11154 4.11 155481.60
24 Mississippi 395198 45524 11.52 95507 18277 19.14 132788.38
25 Wisconsin 798398 44135 5.53 227197 15476 6.81 137124.44
26 Colorado 451299 41041 9.09 127442 8343 6.55 78367.72
27 Iowa 422433 39721 9.40 118245 10647 9.00 133890.21
28 Nevada 398822 37528 9.41 121254 19072 15.73 129481.10
29 Missouri 580320 35194 6.06 207313 14193 6.85 94554.27
30 Utah 475443 35012 7.36 134690 12795 9.50 148299.82
31 Arkansas 439635 34655 7.88 128432 13878 10.81 145679.42
32 Oklahoma 497490 26326 5.29 155893 12569 8.06 125724.95
33 Kentucky 508693 24060 4.73 137759 8436 6.12 113860.84
34 Nebraska 238441 23190 9.73 60284 4013 6.66 123263.03
35 Kansas 261531 22929 8.77 84806 8559 10.09 89770.96
36 Rhode Island 184964 17986 9.72 -57318 1173 -2.05 174599.59
37 New Mexico 476497 17517 3.68 138777 5370 3.87 227246.48
38 Idaho 151071 15823 10.47 61768 9706 15.71 84299.96
39 Oregon 345263 15139 4.38 107629 6483 6.02 81859.77
40 Delaware 158347 13746 8.68 47466 2272 4.79 162613.32
42 District of Columbia 155711 11427 7.34 58416 1100 1.88 220632.26
43 South Dakota 99845 8019 8.03 19757 1255 6.35 112862.70
44 New Hampshire 144822 6262 4.32 26524 480 1.81 106509.40
45 North Dakota 137293 5207 3.79 31171 1631 5.23 180159.88
46 West Virginia 240326 5172 2.15 68562 2267 3.31 134474.67
47 Maine 142243 3723 2.62 47291 470 0.99 105818.87
48 Montana 141002 2711 1.92 50141 1744 3.48 131928.24
49 Wyoming 44165 2238 5.07 10493 751 7.16 76309.83
50 Alaska 178626 2042 1.14 66441 1105 1.66 244176.37
51 Hawaii 106783 1418 1.33 29040 501 1.73 75418.54
52 Vermont 84947 1366 1.61 19183 158 0.82 136135.41

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 337607 18912 5.93 187769 55.62 136980 12556 280 2.28 3.72
Tamil Nadu 186492 5849 3.24 131583 70.56 51765 3144 518 19.73 1.69
Delhi 126323 1227 0.98 107650 85.22 14954 3719 29 0.79 2.94
Karnataka 75833 4764 6.70 27239 35.92 47066 1519 50 3.40 2.00
Andhra Pradesh 64713 6045 10.30 32127 49.65 31763 823 65 8.58 1.27
Uttar Pradesh 55588 2300 4.32 33500 60.26 20825 1263 34 2.77 2.27
Gujarat 51485 1020 2.02 37341 72.53 11916 2228 28 1.27 4.33
West Bengal 49321 2291 4.87 29650 60.12 18450 1221 39 3.30 2.48
Telangana 49259 2985 6.45 37666 76.47 11155 438 16 3.79 0.89
Rajasthan 32334 1593 5.18 23364 72.26 8387 583 9 1.57 1.80
Bihar 30066 1502 5.26 19876 66.11 9981 208 10 5.05 0.69
Haryana 28186 724 2.64 21697 76.98 6117 372 8 2.20 1.32
Assam 27745 2652 10.57 19351 69.75 8325 66 -3 -4.35 0.24
Madhya Pradesh 24842 747 3.10 16836 67.77 7236 770 14 1.85 3.10
Odisha 19835 1078 5.75 13750 69.32 5946 139 6 4.51 0.70
Jammu and Kashmir 15711 1061 7.24 8607 54.78 6831 273 19 7.48 1.74
Kerala 15033 1038 7.42 6161 40.98 8822 46 1 2.22 0.31
Punjab 11301 412 3.78 7641 67.61 3391 269 6 2.28 2.38
Jharkhand 6682 861 14.79 3048 45.62 3570 64 9 16.36 0.96
Chhattisgarh 5999 401 7.16 4230 70.51 1740 29 1 3.57 0.48
Uttarakhand 5300 448 9.23 3349 63.19 1856 57 2 3.64 1.08
Goa 4176 149 3.70 2541 60.85 1607 28 2 7.69 0.67
Tripura 3471 378 12.22 2033 58.57 1411 9 2 28.57 0.26
Puducherry 2300 121 5.55 1369 59.52 900 31 1 3.33 1.35
Manipur 2060 45 2.23 1418 68.83 642 0 0 NaN 0.00
Himachal Pradesh 1725 69 4.17 1105 64.06 594 11 0 0.00 0.64
Ladakh 1206 8 0.67 1018 84.41 186 2 0 0.00 0.17
Nagaland 1084 54 5.24 486 44.83 598 0 0 NaN 0.00
Arunachal Pradesh 949 159 20.13 314 33.09 632 3 0 0.00 0.32
Chandigarh 780 29 3.86 526 67.44 241 13 1 8.33 1.67
Dadra and Nagar Haveli and Daman and Diu 775 37 5.01 490 63.23 273 2 0 0.00 0.26
Meghalaya 514 24 4.90 77 14.98 433 4 0 0.00 0.78
Sikkim 451 108 31.49 112 24.83 326 0 0 NaN 0.00
Mizoram 317 20 6.73 179 56.47 138 0 0 NaN 0.00
Andaman and Nicobar Islands 221 14 6.76 163 73.76 57 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1212468 95582 34 0.04 7.88 151 21 7010 16797 17.57
Piemonte 472296 31545 8 0.03 6.68 144 6 813 4123 13.07
Emilia-Romagna 583968 29238 18 0.06 5.01 85 6 1297 4279 14.64
Veneto 1130514 19671 22 0.11 1.74 35 2 624 2053 10.44
Toscana 395061 10384 9 0.09 2.63 11 1 326 1131 10.89
Liguria 173705 10117 12 0.12 5.82 29 0 190 1565 15.47
Lazio 391123 8456 6 0.07 2.16 175 9 881 853 10.09
Marche 157262 6813 2 0.03 4.33 2 1 144 987 14.49
P.A. Trento 141824 4891 2 0.04 3.45 1 0 22 405 8.28
Campania 314126 4839 6 0.12 1.54 33 1 297 434 8.97
Puglia 218910 4556 0 0.00 2.08 11 0 60 548 12.03
Friuli Venezia Giulia 229633 3358 2 0.06 1.46 7 0 99 345 10.27
Abruzzo 120227 3344 2 0.06 2.78 12 0 116 470 14.06
Sicilia 252477 3146 2 0.06 1.25 10 2 157 283 9.00
P.A. Bolzano 96840 2685 1 0.04 2.77 6 0 99 292 10.88
Umbria 113086 1459 3 0.21 1.29 6 0 14 80 5.48
Sardegna 99476 1379 0 0.00 1.39 7 0 12 134 9.72
Calabria 111600 1239 0 0.00 1.11 3 0 71 97 7.83
Valle d’Aosta 20380 1196 0 0.00 5.87 1 0 1 146 12.21
Molise 25908 446 0 0.00 1.72 1 0 8 23 5.16
Basilicata 44528 408 0 0.00 0.92 2 0 7 28 6.86

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 57796 180 0.31 5658 1 0.02 9.79 6769.53 662.71 1 in 148
Ontario 39718 165 0.42 2798 3 0.11 7.04 2699.73 190.19 1 in 370
Alberta 9728 141 1.47 172 2 1.18 1.77 2204.32 38.97 1 in 454
British Columbia 3328 28 0.85 189 0 0.00 5.68 651.16 36.98 1 in 1536
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Saskatchewan 970 8 0.83 15 0 0.00 1.55 820.87 12.69 1 in 1218
Manitoba 366 12 3.39 7 0 0.00 1.91 265.70 5.08 1 in 3764
Newfoundland and Labrador 263 1 0.38 3 0 0.00 1.14 504.45 5.75 1 in 1982
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 13 0 0.00 0 0 NaN 0.00 316.47 0.00 1 in 3160
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 1655 10 0.60
Guangdong 1650 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 732 7 0.96
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 583 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 188 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 77 3 3.90
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 11916.90 433.97 1 in 84
Brazil 10318.46 389.33 1 in 97
India 891.02 21.46 1 in 1122
Russia 5412.04 86.93 1 in 185
South Africa 6731.28 94.64 1 in 149
Peru 11255.42 422.10 1 in 89
Mexico 2757.39 312.69 1 in 363
Chile 18541.99 480.72 1 in 54
United Kingdom 4476.05 684.93 1 in 223
Iran 3435.52 180.31 1 in 291
Pakistan 1357.50 28.82 1 in 737
Spain 5704.97 609.17 1 in 175
Saudi Arabia 7766.39 77.63 1 in 129
Italy 4046.83 579.91 1 in 247
Turkey 2741.00 68.38 1 in 365
France 3203.57 450.34 1 in 312
Colombia 4300.75 146.04 1 in 233
Bangladesh NA NA 1 in NA
Germany 2460.65 109.90 1 in 406
Argentina 3074.72 56.25 1 in 325

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 222094 23424 10.55
Los Angeles California 162025 4155 2.56
Cook Illinois 99464 4788 4.81
Maricopa Arizona 98988 1556 1.57
Miami-Dade Florida 89557 1325 1.48
Harris Texas 58457 561 0.96
Dallas Texas 43026 537 1.25
Nassau New York 42729 2193 5.13
Broward Florida 42577 517 1.21
Suffolk New York 42575 1995 4.69
Westchester New York 35587 1440 4.05
Clark Nevada 32025 553 1.73
Bexar Texas 31316 262 0.84
Orange California 30976 513 1.66
Riverside California 30890 589 1.91
Philadelphia Pennsylvania 28742 1666 5.80
Palm Beach Florida 26951 701 2.60
Wayne Michigan 25410 2782 10.95
San Bernardino California 25067 333 1.33
Middlesex Massachusetts 25011 1946 7.78
Hillsborough Florida 24550 244 0.99
San Diego California 24520 487 1.99
Orange Florida 24011 124 0.52
Tarrant Texas 22002 299 1.36
Prince George’s Maryland 20867 725 3.47
Suffolk Massachusetts 20650 1039 5.03
Bergen New Jersey 20052 2032 10.13
Hudson New Jersey 19267 1500 7.79
Essex New Jersey 19153 2095 10.94
Mecklenburg North Carolina 17800 179 1.01
Travis Texas 17791 209 1.17
Duval Florida 17544 105 0.60
Passaic New Jersey 17181 1240 7.22
Middlesex New Jersey 17155 1400 8.16
Fairfield Connecticut 17123 1399 8.17
Shelby Tennessee 16904 252 1.49
Salt Lake Utah 16871 139 0.82
Essex Massachusetts 16784 1146 6.83
Milwaukee Wisconsin 16570 416 2.51
Davidson Tennessee 16545 172 1.04
Montgomery Maryland 16520 774 4.69
Union New Jersey 16515 1346 8.15
Hennepin Minnesota 15125 802 5.30
Fairfax Virginia 14994 510 3.40
Franklin Ohio 14432 475 3.29
Pinellas Florida 13925 334 2.40
Gwinnett Georgia 13878 204 1.47
Pima Arizona 13848 391 2.82
Rockland New York 13806 672 4.87
Fulton Georgia 13779 348 2.53
Providence Rhode Island 13674 0 0.00
Oakland Michigan 13492 1119 8.29
King Washington 13450 638 4.74
Lee Florida 13125 244 1.86
Out of GA Georgia 13123 68 0.52
Marion Indiana 12991 709 5.46
Worcester Massachusetts 12894 970 7.52
New Haven Connecticut 12794 1092 8.54
Hidalgo Texas 12787 318 2.49
Jefferson Louisiana 12637 504 3.99
Hartford Connecticut 12101 1406 11.62
El Paso Texas 12041 187 1.55
District of Columbia District of Columbia 11427 580 5.08
Fresno California 10970 104 0.95
Lake Illinois 10963 434 3.96
Orange New York 10953 484 4.42
Cuyahoga Ohio 10828 431 3.98
DuPage Illinois 10414 500 4.80
Polk Florida 10072 186 1.85
Kern California 10068 105 1.04
Baltimore Maryland 9994 517 5.17
Ocean New Jersey 9988 1013 10.14
DeKalb Georgia 9950 190 1.91
Charleston South Carolina 9785 103 1.05
Norfolk Massachusetts 9779 970 9.92
Monmouth New Jersey 9683 851 8.79
Yuma Arizona 9669 201 2.08
Baltimore City Maryland 9644 389 4.03
Orleans Louisiana 9451 546 5.78
Alameda California 9383 166 1.77
St. Louis Missouri 9361 610 6.52
Yakima Washington 9261 194 2.09
Montgomery Pennsylvania 9222 837 9.08
Nueces Texas 9105 108 1.19
Wake North Carolina 9093 93 1.02
Jefferson Alabama 9088 188 2.07
Plymouth Massachusetts 8903 699 7.85
Douglas Nebraska 8900 117 1.31
San Joaquin California 8799 95 1.08
Cobb Georgia 8759 267 3.05
Bristol Massachusetts 8745 613 7.01
Greenville South Carolina 8728 136 1.56
East Baton Rouge Louisiana 8700 290 3.33
Imperial California 8606 163 1.89
Polk Iowa 8557 189 2.21
Denver Colorado 8532 399 4.68
Macomb Michigan 8504 936 11.01
Kane Illinois 8433 291 3.45
Prince William Virginia 8240 164 1.99
Erie New York 8106 657 8.11

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc